日本樱花免m38vcom费vps

日本樱花免m38vcom费vps:刘增凯

发布人:刘伟发布时间:2019-10-23浏览次数:6343

性别:男

出生年月:1986.10

导师类别:硕导

职称:副教授

政治面貌:中共党员

邮箱:liuzengk@upc.edu.cn

职务:无

办公地点:工科E315

电话/传真:

研究方向:海洋油气装备技术

地址/邮编:

山东省青岛市黄岛区长江西路66号日本樱花免m38vcom费vps日本樱花免m38vcom费vps,266580

 

1. 教育经历

2011.09-2016.06,日本樱花免m38vcom费vps,机械电子日本樱花免m38vcom费vps,博士

2009.09-2011.07,日本樱花免m38vcom费vps,机械日本樱花免m38vcom费vps,硕博连读

2005.09-2009.07,日本樱花免m38vcom费vps,机械设计制造及其自动化专业,学士

2. 工作经历

2019.09至今,中国石油大学(华东)日本樱花免m38vcom费vps,特任副教授

       2017.09-2019.08,德国亥姆霍兹吉斯达赫研究中心(HZG)海岸研究所,洪堡学者

       2016.09-2017.08,德国杜伊斯堡-埃森大学自动控制与复杂系统研究所,博士后

3. 研究领域/招生方向

(1) 海洋油气装备技术

   (2) 可靠性及智能化故障诊断理论与技术

 (3) 海洋溢油风险评估

4. 主讲课程

本科生《海洋日本樱花免m38vcom费vps装备》等

5. 主持及参与项目

(1) 山东省自然科学基金(ZR2020QE117),2021.01-2023.12,主持 

(2) 中央高校基本科研业务费(20CX06005A),2019.09-2022.08,主持

(3) 中国石油大学(华东)人才引进项目,2019.09-2022.08,主持

(4) 德国“洪堡学者”计划项目,2017.09-2019.08,主持

(5) 德国学术交流中心博士后奖学金项目,2016.09-2017.08,主持

(6) 国家重点研发计划项目(2019YFE0105100),2020.7-2023.6,参与

(7) 国家自然科学基金面上项目(51779267),2018.01-2021.12,参与

6. 论著专利

共发表SCI论文30余篇,出版专著3部,授权国家发明专利6项,代表性论文如下:

[1]   Zengkai Liu*, Ulrich Callies. A probabilistic model of decision making regarding the use of chemical dispersants to combat oil spills in the German Bight. Water Research, 2020, 169, 115196.SCI, IF: 11.236, 中科院一区TOP

[2]   Zengkai Liu*, Ulrich Callies. Implications of using chemical dispersants to combat oil spills in the German Bight - Depiction by means of a Bayesian network. Environmental Pollution, 2019, 248:609-620. SCI, IF: 8.071, 中科院一区TOP

[3]   Zengkai Liu, Yonghong Liu*, Dawei Zhang, Baoping Cai, Chao Zheng. Fault diagnosis for a solar assisted heat pump system under incomplete data and expert knowledge. Energy, 2015, 87:41-48. SCI, IF: 7.147, 中科院一区TOP

[4]   Zengkai Liu, Yonghong Liu*, Baoping Cai, Chao Zheng. An approach for developing diagnostic Bayesian network based on operation procedures. Expert Systems with Applications, 2015, 42: 1917-1926. SCI, IF: 6.954, 中科院一区TOP

[5]   Zengkai Liu*, Qiang Ma, Baoping Cai, Xuewei Shi, Chao Zheng, Yonghong Liu. Risk coupling analysis of subsea blowout accidents based on dynamic Bayesian network and NK model. Reliability Engineering & System Safety, 2022, 218: 108160. (SCI, IF: 6.188,中科院一区TOP)

[6] Zengkai Liu*, Qiang Ma, Baoping Cai, Yonghong Liu, Chao Zheng. Risk assessment on deepwater drilling well control based on dynamic Bayesian network. Process Safety and Environmental Protection, 2021, 149: 643-654. SCI, IF: 6.158, 中科院二区)

[7] Zengkai Liu, Yonghong Liu*, Baoping Cai, Xiaolei Li, Xiaojie Tian. Application of Petri nets to performance evaluation of subsea blowout preventer system. ISA transactions, 2015, 54: 240-249. SCI, IF: 5.468, 中科院二区TOP

[8] Zengkai Liu, Yonghong Liu*, Xinlei Wu, Dongwei Yang, Baoping Cai, Chao Zheng. Reliability evaluation of auxiliary feedwater system by mapping GO-FLOW models into Bayesian networks. ISA transactions, 2016, 64: 174-183. SCI, IF: 5.468, 中科院二区TOP

 [9]Zengkai Liu, Yonghong Liu, Baoping Cai, Dawei Zhang, Chao Zheng. Dynamic Bayesian network modeling of reliability of subsea blowout preventer stack in presence of common cause failures. Journal of Loss Prevention in the Process Industries, 2015, 38: 58-66. (SCI, IF: 3.660,中国科协高质量科技期刊一区)

[10]Zengkai Liu, Yonghong Liu, Xinlei Wu, Baoping Cai. Risk analysis of subsea blowout preventer by mapping GO models into Bayesian networks. Journal of Loss Prevention in the Process Industries, 2018, 52, 54-65. (SCI, IF: 3.660,中国科协高质量科技期刊一区)

[11]Zengkai Liu, Yonghong Liu. A Bayesian network based method for reliability analysis of subsea blowout preventer control system. Journal of Loss Prevention in the Process Industries, 2019, 59, 44-53. (SCI, IF: 3.660,中国科协高质量科技期刊一区)

7. 获奖荣誉

(1) 青岛西海岸新区紧缺人才,2021

(2) 日本樱花免m38vcom费vps优秀本科毕业论文指导教师,2021

(3) 山东省科技进步一等奖,2021

(4) 青岛市自然科学二等奖,2020

(5)德国“洪堡学者”,2017

8. 学术兼职

   中国机械日本樱花免m38vcom费vps学会高级会员,中国海洋日本樱花免m38vcom费vps学会会员,SCI期刊Water客座编辑,Ocean Engineering, Safety Science, Journal of Petroleum Science and Engineering等多个SCI期刊的审稿人。

 

欢迎对可靠性智能化评估技术、智能化故障诊断技术、海洋溢油风险评估技术等研究方向感兴趣的同学报考本课题组的硕士研究生!

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